AI RESEARCH
SMT-AD: a scalable quantum-inspired anomaly detection approach
arXiv CS.LG
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ArXi:2604.06265v1 Announce Type: new Quantum-inspired tensor networks algorithms have shown to be effective and efficient models for machine learning tasks, including anomaly detection. Here, we propose a highly parallelizable quantum-inspired approach which we call SMT-AD from Superposition of Multiresolution Tensors for Anomaly Detection.